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Rapid Detection for Toxic Capsules with Chromium Based on Hyperspectral Imaging Technology
KTH.
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2017 (English)In: Jiliang Xuebao/Acta Metrologica Sinica, Vol. 38, no 6, p. 765-769Article in journal (Refereed) Published
Abstract [en]

The rapid detection method of chromium content in medicinal capsules based on hyperspectral imaging was studied. Firstly, analysis of medical empty hard gelatin capsule was used as the control group by traditional atomic absorption spectroscopy. Then, the hyperspectral data of 1048 samples were analyzed by dimensionality reduction and qualitative analysis. Finally, the partial least squares discriminant analysis method was used to process the spectral data. If 4 LV are as input features in the partial lease squares discrimination analysis model, the classification accuracy reached 100%, the correlation coefficient of cross validation and sample prediction are 0.923 and 0.972, respectively. Sensitivity and specificity are both 100%. 

Place, publisher, year, edition, pages
Chinese Society for Measurement , 2017. Vol. 38, no 6, p. 765-769
Keywords [en]
Capsule detection, Chromium, Hyperspectral imaging, Metrology, PLS-DA model, Spectral analysis
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-246579DOI: 10.3969/j.issn.1000-1158.2017.06.24Scopus ID: 2-s2.0-85055623906OAI: oai:DiVA.org:kth-246579DiVA, id: diva2:1324027
Note

QC 20190613

Available from: 2019-06-13 Created: 2019-06-13 Last updated: 2019-06-13Bibliographically approved

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Hamid Muhammed, Hamed

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KTHSchool of Engineering Sciences in Chemistry, Biotechnology and Health (CBH)
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